Genetic Programming


Genetic Programming: On the Programming of Computers by Means of Natural Selection (Complex Adaptive Systems)
The Nonlinear Workbook: Chaos, Fractals, Cellular Automata, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, Wavelets, Hidden Markov Models, Fuzzy Logic with C++, Java and SymbolicC++ Programs
Evolutionary Computation
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Hands-On Genetic Algorithms with Python: Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems
Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Evolve Solutions (Pragmatic Programmers)
Algorithms for Optimization (Mit Press)
A Field Guide to Genetic Programming
Introduction to Evolutionary Computing (Natural Computing Series)
Genetic Programming III: Darwinian Invention and Problem Solving
Genetic Programming II: Automatic Discovery of Reusable Programs (Complex Adaptive Systems)
Genetic Algorithms in Search, Optimization and Machine Learning by David Edward GoldbergGenetic Programming by John R. KozaFoundations of Genetic Programming by William B. LangdonEvolutionary Computation by Kenneth A. De JongMulti-Objective Optimization using Evolutionary Algorithms by Kalyanmoy Deb
Evolutionary Algorithms
86 books — 6 voters